Senior Engineer - Ai Platforms

Cardinal Health

$123,400 - $176,300; bonus eligible: yes; benefits...
Not specified (assumed hybrid based on industry trends).
Ai platform architecture
Generative and agentic ai
Kubernetes for ai workloads
Cardinal Health is seeking a Senior Engineer for their AI Platforms team, responsible for leading the technical strategy and architecture of enterprise-grade AI solutions. The ideal candidate will have extensive experience in infrastructure platform management, particularly in AI/ML, and will play a critical role in delivering scalable and secure AI capabilities

Job Summary

  • AI Platform Engineering at Cardinal Health delivers the enterprise-grade foundation for agentic intelligence, providing shared infrastructure and automated guardrails.
  • The AI Platform Tech Lead is responsible for the technical strategy, architecture, and delivery of key AI platform capabilities, guiding reusable patterns and reducing complexity.
  • Cardinal Health offers a wide variety of benefits and programs to support health and well-being, including medical, dental, vision coverage, paid time off, and a 401k savings plan.

Matching Summary

Match Score: 85

Cardinal Health is seeking a Senior Engineer for their AI Platforms team, responsible for leading the technical strategy and architecture of enterprise-grade AI solutions. The ideal candidate will have extensive experience in infrastructure platform management, particularly in AI/ML, and will play a critical role in delivering scalable and secure AI capabilities.

Salary

$123,400 - $176,300; Bonus eligible: yes; Benefits: Medical, dental and vision coverage, Paid time off plan, Health savings account (HSA), 401k savings plan, Access to wages before pay day with myFlexPay, Flexible spending accounts (FSAs), Short- and long-term disability coverage, Work-Life resources, Paid parental leave, Healthy lifestyle programs

Skills & Requirements

Must-have

  • AI platform architecture
  • Generative and Agentic AI
  • Kubernetes for AI workloads
  • MLOps lifecycle automation
  • Security-by-design guardrails
  • Agentic Development Life Cycle (ADLC)

Nice-to-have

  • Developer experience
  • Cross-platform interoperability
  • Inclusive workplace values diversity

Key Requirements

  • 8+ years Infrastructure Platform Management
  • Agent Development Kit (ADK) competency
  • Model Context Protocol (MCP) understanding
  • Proficiency in Python or Go, Java, Rust, Bash
  • Experience with Terraform
  • Google Cloud Platform mastery
  • Ability to guide architecture and execute implementations

Work Rights

Not specified

Tailored Resume

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